As a Principal Solution Architect, Ai Agent, you will help product engineering teams design and implement scalable AI solutions that leverage WK's GenAI platform to drive impact in healthcare, legal, tax, and compliance industries. Your expertise will enable teams to deliver innovative solutions at scale.
About this role
Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. As aPrincipal Solution Architect, you will play a critical role in enabling these teams to design and implement solutions that leverage the platform effectively.
You’ll act as a trusted advisor, helping teams navigate technical challenges, design scalable architectures, and prototype solutions. In addition to creating proof-of-concepts to demonstrate best practices and accelerate adoption, you’ll play a key role in driving the evolution of the GenAI platform by identifying gaps, proposing enhancements, and collaborating with platform engineering teams to deliver new capabilities.
This high-impact role requires a deep understanding of AI agent development, cloud-native architectures, and the ability to collaborate across diverse teams. You’ll work closely with engineering, product, and domain experts to ensure the platform delivers measurable outcomes for the organization.
Tech stack
You don’t need to know all of these on day one, but you should be ready to learn quickly.
1. TypeScript, Node.js, React, Python, LangChain, MCP/A2A, Rust
2. AWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions
3. DocumentDB, DynamoDB, OpenSearch, Azure AI Search
4. Azure OpenAI, AWS Anthropic, Google Gemini
5. GitHub, Confluence, Slack
What you’ll do
6. Partner with product teams to design scalable, secure, and reliable solutions that leverage the GenAI platform.
7. Provide technical consulting and guidance on best practices for AI agent development, deployment, and integration.
8. Rapidly prototype solutions to demonstrate platform capabilities and accelerate adoption.
9. Collaborate with platform engineering teams to identify and address gaps in platform capabilities based on customer needs.
10. Conduct architecture reviews, threat modeling, and design sessions to ensure solutions meet security, privacy, and compliance requirements.
11. Act as a bridge between platform and product teams, ensuring alignment on technical and business goals.
12. Stay up-to-date with the latest AI/LLM patterns (RAG, retrieval, routing, tool-use, evals) and help teams apply them effectively.
13. Mentor engineers and promote knowledge sharing across teams.
Team context
14. Org and Sub-teams: Central GenAI Platform within Wolters Kluwer, driving innovation across businesses by creating re-usable platform services and components. Sub-teams are fewer than 10 engineers, focused on platform services or customer-facing agents.
15. Culture and Reporting: We value a "manager of one" mindset, where outcomes matter more than optics. Authority is earned through demonstrated impact, not tenure or title. You’ll report directly to the Director of Engineering, AI Platform.
16. Team Size and Impact: Our globally distributed team of ~100 engineers combines the stability of an established company with the agility of a startup. We are moving fast, and there are many areas where you can have a big impact.
Minimum qualifications
17. 8+ years of professional software engineering or solution architecture experience.
18. Strong experience designing and implementing cloud-native architectures (AWS/Azure/GCP).
19. Proven ability to rapidly prototype solutions and demonstrate technical concepts.
20. Excellent problem-solving, ownership, and cross-functional communication skills.
Nice to have
21. Expertise in health, legal, tax, or compliance domains.
22. Experience consulting or working directly with product teams to deliver AI solutions.
23. Familiarity with LangChain, MCP, vector/RAG systems, and OpenSearch.
24. Understanding of LLMs, their failure modes, and techniques like fine-tuning and model adaptation.
25. Experience with regulatory frameworks such as SOC2, HIPAA, etc.
26. Proven ability to deliver software products independently or as part of a small, fast-paced team.
Stages
27. 15‑minute intro screen
28. 2× live coding in your preferred language
29. 1× systems design
30. 1× presentation of past work
Timeline: Typically 2–4 weeks
Your first months
31. Month 1: Deep-dive into one platform component most aligned with your
32. expertise; ship small improvements while ramping up.
33. After onboarding: We’ll align on a high-impact area that fits your strengths
34. and ambitions.
To apply:
Please submit your resume along with a brief cover letter that includes a “Statement of Exceptional Work.” In your cover letter, highlight one of your most impactful projects by addressing the following:
35. Your role and the problem space you were working in
36. The technical and product challenges you faced, and how you addressed them
37. The measurable impact of your work (e.g., metrics, outcomes, improvements)
This will help us better understand your approach to solving complex problems and the value you bring to the team.
Please do not include any proprietary or confidential information in your submission
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